Cloud Lifetime Estimation

Cloud Lifetime Estimation is a methodological framework within cloud remote sensing that quantifies the temporal duration of cloud formations from their inception to dissipation by integrating multi-sensor observational data and temporal tracking algorithms.

27

Publications

1.8K

Citations

78

Authors

45

Institutions

Publications per year

2017–2026

13

Authors

78

  1. GF
    Graham Feingold

    NOAA Earth System Research Laboratory, United States

    3 publications · 429 citations

    3

    h-index

  2. UL
    Ulrike Lohmann

    ETH Zurich, Switzerland

    3 publications · 487 citations

    3

    h-index

  3. AJ
    Andrew J. Heymsfield

    NSF National Center for Atmospheric Research, United States

    2 publications · 73 citations

    2

    h-index

  4. MC
    Mélanie Chevance

    Heidelberg University, Germany

    2 publications · 41 citations

    2

    h-index

  5. TR
    Trismidianto

    Indonesian National Institute of Aeronautics and Space, Indonesia

    2 publications · 24 citations

    2

    h-index

1–5 of 78

Venues

  1. Geophysical Research Letters

    5 publications · 419 citations

    5

    h-index

  2. 3

    h-index

  3. Atmospheric chemistry and physics

    3 publications · 485 citations

    3

    h-index

  4. Atmospheric measurement techniques

    2 publications · 47 citations

    2

    h-index

  5. IOP Conference Series Earth and Environmental Science

    EES · Conference · 2 publications · 24 citations

    2

    h-index

1–5